Linear Regression Plots in R
Skills:
Reading ML Papers80%Research Methods80%Paper Reproduction70%ML Maths Basics60%Supervised Learning60%
Linear Regression Plots in R Explained
When plotting your linear regression model, you'll see the following 4 graphs:
- Residuals vs Fitted Values
- Normal Q-Q (Quantile-Quantile) Plot
- Scale-Location / Spread-Location Plot
- Residuals vs Leverage Plot
We'll cover what each of these graphs mean and how you can use them to interpret the validity of your linear regression model.
Timeline:
0:00 Intro
2:09 Residuals vs Fitted Values
5:45 Normal Q-Q (Quantile-Quantile) Plot
8:58 Scale-Location / Spread-Location Plot
10:03 Residuals vs Leverage Plot
Dataset: https://www.kaggle.com/aungpyaeap/fish-market/version/2
Part 1 (Regression Summary): https://www.youtube.com/watch?v=7WPfuHLCn_k
Additional info: https://data.library.virginia.edu/diagnostic-plots/
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Chapters (5)
Intro
2:09
Residuals vs Fitted Values
5:45
Normal Q-Q (Quantile-Quantile) Plot
8:58
Scale-Location / Spread-Location Plot
10:03
Residuals vs Leverage Plot
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Tutor Explanation
DeepCamp AI